PWF Nepal: 2024 School on Numerical Simulation of Quantum-Many Body Systems - Quantumandu
Starts 25 Jul 2024 05:15
Ends 31 Jul 2024 13:15
Asia/Kathmandu
Central Department of Physics, Tribhuvan University, Kathmandu, Nepal
The 2024 School on Numerical Simulation of Quantum Many-Body Systems will be held in central department of Physics, Tribhuvan University, Kathmandu, Nepal from 25/07/2024 to 31/07/2024.
The school aims to train Masters level physics students in Nepal in advanced numerical methods in quantum many-body physics. A 100 percent attendance is mandatory to successfully complete the school, participants successfully completing the school will receive ICTP-PWF certificate at the end of the school.
Our goal is to train students to employ computational methods such as Exact Diagonalization and Tensor Network algorithms through a compact course comprised of both theory and hands-on lectures.
In parallel, this course will also teach students to write efficient scientific codes to solve problems related to many-body physics. The course comprises of both chalkboard lectures and hands-on sessions.
On successfully completing the school participant are will gain the following skills:
- Master the basics concepts of quantum spin chains: spin-1/2 (a.k.a. qubits), Hilbert space, quantum many-body wave function and its representation, Pauli operators, spin chain hamil-tonian, commonly used spin chain models (transverse field Ising model, Heisenberg model, XXZ model, etc);
- Ability to perform exact diagonalization of short range spin-1/2 hamiltonian with basic symmetries, like particle number conservation and translation invariance;
- Understand the fundamental aspects of tensors network techniques: representation of the wave function of one dimensional spin system as Matrix Product States (MPS), operators as Matrix Product Operators (MPO), using these representations in basic algorithms, as for instance Density Matrix Renormalization Group (DMRG) and Time Evolving Block Decimation (TEBD);
- Ability to write efficient codes for to solve scientific problems.